Content Strategy
Most creators live and die by the prompt-and-pray routine—tweaking LLM prompts for hours, dragging content between browser tabs, smashing into broken formatting, then watching their energy and consistency drain out. I’ve been there, burning time on workflow whack-a-mole while my content calendar turned into a cemetery.
What actually changed things for me? Not better prompts or more clever hacks—it was building real systems with AI agents running the pipeline end-to-end. No more manual prompt chaining, copy/paste hell, or lost context. Just automated, orchestrated content flows that actually deliver.
Over the last two years, I’ve set up autonomous systems for SaaS, coaches, and media teams. Stuff like:
- brand_cron.py scheduling content pulls and handoffs to generative models
- social_poster.py and vision_social_poster.py auto-publishing to Instagram and Twitter (while Playwright+CDP fakes a browser just like a human would)
- GPT-4.1 and Claude Sonnet for generation, with fallbacks to a local Gemma4 if the cloud flakes out
- 9222 Chrome hooks and kernel-level uinput for bulletproof posting wherever APIs suck
Getting Started
No theory, just what runs live at @nepa_ai, @bmx4beginners, and inside axon.nepa-ai.com.
If you want to escape the grind and actually scale your output, get the playbook and see the real blueprints, not more “10 best prompts for LinkedIn” spam.
If you want to see how these agent stacks run in production, check out axon.nepa-ai.com.